The social relations model (SRM) is very often used in psychology to examine the components, determinants, and consequences of interpersonal judgments and behaviors that arise in social groups. The standard SRM was developed to analyze cross-sectional data. Based on a recently suggested integration of the SRM with structural equation models (SEM) framework, we show here how longitudinal SRM data can be analyzed using the SR-SEM. Two examples are presented to illustrate the model, and we also present the results of a small simulation study comparing the SR-SEM approach to a two-step approach. Altogether, the SR-SEM has a number of advantages compared to earlier suggestions for analyzing longitudinal SRM data, making it extremely useful for applied research.
Original languageEnglish
JournalJournal of Educational and Behavioral Statistics
Issue number2
Pages (from-to)231-260
Number of pages30
Publication statusPublished - 04.2022
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    Research areas

  • Methodological research and method development - social relations model, latent growth model, autoregressive model, longitudinal data, structural equation model

ID: 1709849